Registration for this course is closed.
This course is planned as a remote event.
The objective of this course is to assist Member States and Co-operating States in advanced training on the operational aspects of the ECMWF forecasting system. The aim of the course is to increase participants’ ability to examine and assess ECMWF output products. It is directed towards staff who are (or will be) using ECMWF products either directly as forecasting staff or in research and development work, and to trainers and training champions. The course aims to help users get maximum benefit from the Centre's products.
Lectures on aspects of the ECMWF forecasting system will be complemented with practical sessions where participants will use ECMWF forecasts in real case situations. Participants will have the opportunity to familiarise themselves with recently developed web applications for data visualisation.
The ensemble forecast (ENS) will be presented and the range of available products will be introduced. A large part of the course will be devoted to the interpretation of these products and to the evaluation of their quality. Potential benefits of the probabilistic formulation of the forecast for medium-range to seasonal-range applications will also be demonstrated.
The first course of the year is aimed at trainers and training champions. There will be a number of activities (for example lectures, practical, games) to help trainers to design learning experiences that enhance the understanding of ensemble forecasts and the use of ECMWF products.
We will ask participants to complete pre-course activities or learning tasks which will take up to a maximum of one day of self-study. Completing pre-course activities helps to ensure that participants are prepared to learn and apply the new content in the course. It also provides information that trainers need to make the course more relevant to students' experience and working environment. These tasks include completing two eLearning modules (1 hour) and contributing to a forum discussion.